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Cerebral small vessel diseases (cSVD) are diseases of brain tissue involving vessels (arterioles or capillaries) with a diameter of less than 400 microns. Within this group, CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy) is the most common familial form. CADASIL is due to mutations in the NOTCH3 gene located on chromosome 19. It is considered a unique model for the study of cSVD. CADASIL begins between the ages of 20 and 40, with the appearance of cerebral white matter hyper-signals visible on MRI. Before the age of 30, patients are usually asymptomatic. To date, there are no available treatments. To test new therapeutic approaches, we need biomarkers that are robust and sensitive enough to assess the effects of these treatments at an early stage of cSVD and over a relatively short period of time.
An ideal monitoring biomarker should be repeatedly and safely usable, easily accessible, accurate, reproducible and sensitive to disease progression or pharmacological intervention.
Alterations in neurovascular coupling (NVC) have been recognized as one of the earliest functional alterations occurring during cSVD. Cerebral functional magnetic resonance imaging (fMRI) is a brain imaging technique that measures the activity of brain areas in vivo by detecting local changes in blood flow. An important advantage of blood oxygen level-dependent functional MRI is that it enables the NVC to be probed in vivo, safely and repeatedly in humans.
Our central hypothesis is that functional MRI can provide such a biomarker for monitoring CNV disease progression in vivo using a dedicated fMRI protocol that can be used on a clinical MRI scanner, is reproducible and varies according to the severity of brain MRI lesions and/or clinical manifestations in CADASIL. A functional imaging study coupled with electroencephalogram has already revealed changes in the hemodynamic response to visual or motor stimuli in patients at the early stage of the disease. This study is exploring new imaging protocols to focus on the purest vascular response.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control group |
| ||
| CADASIL patients with no disability or significant cognitive deficit |
| ||
| CADASIL Patients with mild to moderate disability or with a moderate cognitive deficit |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Functional MRI at 3T | Radiation | At inclusion |
| |
| Functional MRI at 3T |
| Measure | Description | Time Frame |
|---|---|---|
| Variation in BOLD response | Variation in BOLD response on functional MRI during short-duration visual stimuli (area under the curve) and parameters derived from this response curve at the calcarine scissure For all patients and controls | At inclusion |
| Variation in BOLD response | Variation in BOLD response on functional MRI during short-duration visual stimuli (area under the curve) and parameters derived from this response curve at the calcarine scissure For CADASIL patients | At 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Correlations between parameters derived from the response curve and age | Up to 2 years | |
| Correlations between parameters derived from the response curve and gender | Up to 2 years | |
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Inclusion criteria :
For CADASIL patients
For controls:
Exclusion criteria :
For patients
Contraindication to MRI examination
Disability: Rankin score ≥ 4
Moderate to severe dementia according to DSM 5 criteria or MMSE score ≤ 19
Person covered by articles L. 1121-5 to L. 1121-8 and L. 1122-12 of the French Public Health Code, defined by :
Person subject to a period of exclusion for another research project
For controls :
Contraindication to MRI examination
Known cognitive complaint or deficit
Presence of significant disability (mRS >1)
Focal neurological motor, sensory or visual deficit on clinical examination that may impair visual or motor stimulation tests
History of neurological or psychiatric disease
History of migraine attacks with aura
Vascular history (known disease of peripheral arteries, heart or brain)
Known or treated diabetes
Known or treated hypercholesterolemia
Known or treated hypertension
Active smoking or smoking cessation within the last year
Regular alcohol consumption corresponding to > 2 glasses/day for men and 1 glass/day for women in wine equivalent
Treatment likely to interfere with neurovascular coupling (in particular any treatment with non-steroidal anti-inflammatory drugs, psychotropic drug(s), antihypertensive drug(s) or statins)
Person covered by articles L. 1121-5 to L. 1121-8 and L. 1122-12 of the French Public Health Code, defined by :
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Patients with a known mutation in the NOTCH3 gene
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hugues Chabriat, MD PhD | Contact | +33 1 49 95 25 93 | +33 | hugues.chabriat@aphp.fr |
| Jérôme Lambert, MD PhD | Contact | +33 1 42 49 97 42 | +33 | jerome.lambert@u-paris.fr |
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| ID | Term |
|---|---|
| D046589 | CADASIL |
| D059345 | Cerebral Small Vessel Diseases |
| ID | Term |
|---|---|
| D002544 | Cerebral Infarction |
| D020520 | Brain Infarction |
| D002545 | Brain Ischemia |
| D002561 | Cerebrovascular Disorders |
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| Radiation |
At inclusion and at 2 years for CADASIL patients without severe disability (mRS<4) |
|
| Functional MRI at 3T | Radiation | At inclusion and at 2 years for CADASIL patients without severe disability (mRS<4) |
|
| Correlations between parameters derived from the response curve and cardiovascular risk factors |
| Up to 2 years |
| Correlations between parameters derived from the response curve and modified Rankin score | Up to 2 years |
| Correlations between parameters derived from the response curve and stroke frequency | Up to 2 years |
| Correlations between parameters derived from the response curve and stroke number | Up to 2 years |
| Correlations between parameters derived from the response curve and total brain volume | Up to 2 years |
| Correlations between parameters derived from the response curve and cerebral parenchymal fraction | Up to 2 years |
| Correlations between parameters derived from the response curve and normalized WMH (White matter hyperintensity)volume | Up to 2 years |
| Correlations between parameters derived from the response curve and number of microbleeds | Up to 2 years |
| Correlations between parameters derived from the response curve and number of lacunae | Up to 2 years |
| D001927 |
| Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D015140 | Dementia, Vascular |
| D002539 | Cerebral Arterial Diseases |
| D020765 | Intracranial Arterial Diseases |
| D020521 | Stroke |
| D003704 | Dementia |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D007238 | Infarction |
| D007511 | Ischemia |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D009336 | Necrosis |